Doubao Seed 2.0 Mini
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Doubao Seed 2.0 Mini

doubao-seed-2-0-minillms.txt
ByteDance
Doubao 2.0 series is designed for low-latency, high-concurrency, and cost-sensitive scenarios, emphasizing fast responses and flexible inference deployment. Model performance is comparable to Doubao-Seed-1.6. It supports a 256k context window, four levels of thinking length, and multimodal understanding, making it suitable for lightweight tasks that prioritize cost and speed.

Pricing

TierPricingCache Read
Input<=32K
$0.030$0.301
$0.0060272/M tokens
32K<Input<=128K
$0.060$0.603
$0.0120548/M tokens
128K<Input<=256K
$0.121$1.205
$0.0241096/M tokens

Input Modalities

  • Text
  • Vision
  • Video

Output Modalities

  • Text

Context length

  • 256K tokens

Max output

  • 128K tokens

Capabilities

  • Thinking
  • Streaming
  • Tool calling
  • Web search
  • URL context
  • Code interpreter
  • Computer use
  • File search
  • Memory tool
  • Document input
  • Structured outputs
  • Citations
  • Prompt caching
  • Background mode
  • Server-side sessions

Providers

Bytedance doubao-seed-2-0-mini-260215
Pricing$0.030$0.301
Cache Read$0.0060272/M tokens
Pricing$0.060$0.603
Cache Read$0.0120548/M tokens
Pricing$0.121$1.205
Cache Read$0.0241096/M tokens
Context256K
Max output32K
Latency0.7S
Throughput102.2TPS
Uptime
99.99% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today

Performance for doubao-seed-2-0-mini

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime
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Latency
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Throughput
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Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="doubao-seed-2-0-mini",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is Doubao Seed 2.0 Mini?

Doubao 2.0 series is designed for low-latency, high-concurrency, and cost-sensitive scenarios, emphasizing fast responses and flexible inference deployment. Model performance is comparable to Doubao-Seed-1.6. It supports a 256k context window, four levels of thinking length, and multimodal understanding, making it suitable for lightweight tasks that prioritize cost and speed.